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Data Scientist Project Manager Jobs in Delaware (NOW HIRING)

Delaware Electric Cooperative

Data Scientist

Greenwood, DE · On-site

$100K - $118K/yr

... required to manage the implementation of AI projects across the enterprise successfully Key ... Experience & Skills * 5-7 years of relevant data science/analytics experience. * Experience in data ...

Continental Finance

Data Scientist

Wilmington, DE · Hybrid

The Data Scientist is responsible for the development of models, strategies, and operational ... Collaboration with Risk Management to resolve outstanding issues and support documentation quickly ...

Td

Data Scientist III - FCRM Risk Modeling

Wilmington, DE · On-site

$96K - $155K/yr

May manage and prioritize multiple projects at a given time Education & Experience: * Undergraduate ... data science * Is familiar with the business context and data infrastructure and can translate ...

JPMorganChase

Data Scientist Lead

Wilmington, DE · On-site

JPMorganChase is a leading financial services firm, and they are seeking a Data Scientist Lead to ... management skills, able to keep several projects on track simultaneously and persuasively ...

JP Morgan Chase

Data Scientist Lead

Wilmington, DE · On-site

Strong work management skills, able to keep several projects on track simultaneously and ... data science and machine learning. We have a strong partnership with Technology, which provides ...

JPMorgan Chase & Co.

Data Scientist Lead

Wilmington, DE · On-site

$142K - $210K/yr

Strong work management skills, able to keep several projects on track simultaneously and ... data science and machine learning. We have a strong partnership with Technology, which provides ...

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Data Scientist Project Manager information

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of expertise, certifications, and sometimes leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Data Scientist Project Manager, and why are they important?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

What is a Data Scientist Project Manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Experience in managing data projects and understanding business goals can facilitate this transition, often supported by certifications like PMP or Agile methodologies.

What is the hottest job of the 21st century?

Data Scientist Project Managers are in high demand due to the growth of data-driven decision making. They combine technical skills in data analysis with project management expertise to lead complex analytics initiatives, often requiring knowledge of tools like Python, R, and cloud platforms. The role is considered one of the most sought-after careers in the 21st century for its impact and versatility.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

How do Data Scientist Project Managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

Is 40 too late for data science?

For a Data Scientist Project Manager, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant certifications, programming skills, and domain knowledge, making age less of a barrier than skill set and adaptability.
What are popular job titles related to Data Scientist Project Manager jobs in Delaware? For Data Scientist Project Manager jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Scientist Project Manager jobs in Delaware look for? The top searched job categories for Data Scientist Project Manager jobs in Delaware are:
What cities in Delaware are hiring for Data Scientist Project Manager jobs? Cities in Delaware with the most Data Scientist Project Manager job openings:
Data Scientist Project Manager jobs near you
Data Scientist

Data Scientist

Delaware Electric Cooperative

Greenwood, DE • On-site

$100K - $118K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Scientist
Join a Top Workplace and Help Shape the Future of Data-Driven Decision Making
Delaware Electric Cooperative (DEC) is a member-owned electric utility serving more than 120,000 homes and businesses throughout Southern Delaware. We are committed to delivering safe, reliable, and affordable energy while fostering innovation and exceptional service for our members.
Recently recognized as one of Delaware's Top Workplaces, DEC offers a collaborative environment where talented professionals can make a meaningful impact. Located in Greenwood, Delaware, our region provides an outstanding quality of life with beautiful beaches, state parks, biking and hiking trails, fishing, and numerous outdoor recreation opportunities.
Job Summary
To improve operating and organizational efficiencies with insights gained from analyzing company and external data. To build data products to extract valuable business insights. To be responsible for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. To be responsible for building, deploying, and maintaining data support tools, metadata inventories, and definitions for database file/table creation.
Strategize with Manager of Business Intelligence and/or COO on best use cases for artificial intelligence (AI) and work with other business units to gather data and business process knowledge required to manage the implementation of AI projects across the enterprise successfully
Key Responsibilities
  • Within the limits of established policies, budgets and legal requirements, assumes responsibility and has commensurate authority as delegated by the Manager of Business Intelligence or COO for the performance of the following activities:
    • Identify valuable data sources and automate collection processes.
    • Undertake preprocessing of structured and unstructured data.
    • Analyze large amounts of information to discover trends and patterns.
    • Use predictive modeling to increase and optimize member experiences and other business outcomes.
    • Present information using data visualization techniques.
    • Work with the Manager of Business Intelligence and/or COO to develop AI strategy and manage AI projects across the enterprise.
    • Propose solutions and strategies to business challenges.
    • Devise, develop, and deploy required data queries in response to business user needs.
    • Provide and apply quality assurance best practices for data mining/analysis services across the organization.
    • Conduct research and make recommendations on data mining products, services, protocols, and standards in support of procurement and development efforts.
    • Develop processes and tools to monitor and analyze model performance and data accuracy.
    • Determine required network components to ensure data access, as well as data consistency and integrity.
    • Coordinate with different functional teams to implement models and monitor outcomes.
    • Mine and analyze data from company databases to drive optimization and improvement of business processes and strategies.
    • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
    • Develop custom data models and algorithms to apply to data sets.
    • Publish and maintain a Business Intelligence portal with dynamic key performance indicators.
    • Develop a Data Warehouse utilizing multiple data sets across multiple platforms.
    • Assist the Cooperative in identifying and evaluating AI vendor solutions to ensure safe and effective use cases.
    • Establish metrics and reporting to measure the performance and business impact of artificial intelligence initiatives.
    • Utilizes AI tools and automation in daily data analysis, model development, and reporting activities to improve efficiency and insight generation.
    • Supports business units through AI-enabled insights.
    • AI-assisted development tools to accelerate query writing, coding, and documentation.
    • Utilizes AI to identify repetitive processes across departments.
    • Perform other duties as may be assigned by the Manager of Business Intelligence or COO.
Qualifications
Education
  • Education: Bachelor's degree in Computer Science or Engineering or relevant technical field.
Experience & Skills
  • 5-7 years of relevant data science/analytics experience.
  • Experience in data mining; working with and creating data architectures; using statistical computer languages to manipulate data and draw insights from large data sets. Must have direct experience with data management and artificial intelligence techniques with strong technical document skills. Experience working in a team-oriented, collaborative environment.
  • Must have knowledge of applicable data privacy practices and laws, strong math skills (statistics, algebra); strong analytical mind and business acumen; Strong problem-solving skills with an emphasis on process improvement. Must have excellent communication and presentation skills.
  • Experience with Python, R, Java, TensorFlow, Julia, Scala, Power BI, SQL, Oracle, and JSON is preferred.
Why Join DEC?
  • Competitive compensation
  • Outstanding benefits package
  • Career growth and professional development opportunities
  • Collaborative and innovative work environment
  • Opportunity to make a meaningful impact in your community
  • Work-life balance in beautiful Southern Delaware
Ready to Apply?
We respect your time and have created a quick, mobile-friendly application process that takes just a few minutes to complete. If you're passionate about data, analytics, technology, and driving business improvements through insights, we'd love to hear from you.
Location: Greenwood, Delaware 19950
Applicants will be required to successfully pass a background and drug screening upon offer.

Apply